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    Big Geospatial Data Analysis With Google Earth Engine

    Posted By: ELK1nG
    Big Geospatial Data Analysis With Google Earth Engine

    Big Geospatial Data Analysis With Google Earth Engine
    Last updated 8/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 3.06 GB | Duration: 3h 21m

    Learn to analyze, visualize big Earth observation data, Remote Sensing, GIS, Google Earth Engine Cloud Computing

    What you'll learn
    Download varies satellite data for free
    Students will access and sign up the Google Earth Engine platform
    Apply Remote Sensing and GIS techniques to process and analyze various vector data
    Generate various visualizations including time series and histogram charts from remote sensing data
    Learn to access and analyze various satellite data including MODIS, Sentinel and Landsat
    Visualize Time Series images
    Extract information from satellite data
    Requirements
    This course has no requirements.
    Description
    Do you want to access satellite sensors?Do you want to visualize big Earth observation Remote Sensing GIS data?Do you want extract information from satellite sensors? Enroll in my new course to Big Geospatial Data Analysis with Google Earth Engine.I will provide you with hands-on training with example GIS and Remote Sensing data, sample scripts, and real-world applications. By taking this course, you will take your geospatial data science skills to the next level by gaining proficiency in accessing satellite sensors, visualize big Earth observation data and extract information from satellite data.  In this Big Geospatial Data Analysis with Google Earth Engine course, I will help you get up and running on the Earth Engine cloud platform access satellites, visualize big data and extract information from satellites.By the end of this course, you will be equipped with a set of new skills including accessing, downloading, visualizing big data, and extracting information. In this course, I will use real satellite data including Landsat, MODIS, Sentinel-2, and others to provide you a hands-on practical experience of working with Earth observation data.One of the common problems with learning image processing is the high cost of software. In this course, I entirely use the Google Earth Engine JavaScript open source cloud platform. Additionally, I will walk you through using a step by step video tutorials to process and analyze GIS and Remote Sensing data with GEE. All sample data and script will be provided to you as an added bonus throughout the course.Jump in right now to enroll. To get started click the enroll button.

    Overview

    Section 1: Explore Earth Engine API

    Lecture 1 Welcome

    Lecture 2 Introduction to Earth Engine

    Lecture 3 Explore Earth Engine

    Lecture 4 Sign Up with Earth Engine

    Lecture 5 Code Editor

    Lecture 6 JavaScript Syntax

    Section 2: Big Earth Observation Data

    Lecture 7 Earth Observation Satellites

    Lecture 8 Landsat Satellite Image

    Lecture 9 Cloud Mask Landsat Satellite Image

    Lecture 10 Sentinel Satellite Image

    Lecture 11 MODIS Image

    Section 3: Visualization of Satellite Data

    Lecture 12 Map Rainfall

    Lecture 13 Map LST

    Lecture 14 Map NDVI

    Lecture 15 Map EVI

    Lecture 16 Map Nighttime Light

    Lecture 17 Map Land Cover

    Section 4: Plot Monthly Time Series

    Lecture 18 Plot Rainfall Time Series

    Lecture 19 Plot LST Time Series

    Lecture 20 Plot NDVI Time Series

    Lecture 21 Plot EVI Time Series

    Section 5: Extract Monthly Time Series

    Lecture 22 Extract Monthly Rainfall

    Lecture 23 Extract Monthly LST

    Lecture 24 Extract Monthly NDVI

    Lecture 25 Extract Monthly EVI

    Section 6: Bonus

    Lecture 26 Bonus Lecture

    This course is meant for professionals who want to harness the power Google Earth Engine cloud computing platform.,People who want to understand various satellite image processing techniques.,Anyone who wants to learn accessing visualizing and extracting information from satellites.,People who are working with satellite remote sensing data such as Landsat, MODIS, and Sentinel-2.,Anyone who wants to apply for GIS or Remote Sensing Specialist job position.